Urban Art in a Digital Context: A Computer-Based Evaluation of Street Art and Graffiti Writing. - Sabine Lang; Björn Ommer (DH, 2018)

Reflecting on How Artworks Are Processed and Analyzed by Computer Vision. - Sabine Lang; Björn Ommer (ECCV Workshops (2), 2018)

A Style-Aware Content Loss for Real-Time HD Style Transfer. - Artsiom Sanakoyeu; Dmytro Kotovenko; Sabine Lang; Björn Ommer (ECCV (8), 2018)

Attesting similarity: Supporting the organization and study of art image collections with computer vision. - Sabine Lang; Björn Ommer (Digit. Scholarsh. Humanit., 2018)

A Content Transformation Block for Image Style Transfer. - Dmytro Kotovenko; Artsiom Sanakoyeu; Pingchuan Ma 006; Sabine Lang; Björn Ommer (CVPR, 2019)

Content and Style Disentanglement for Artistic Style Transfer. - Dmytro Kotovenko; Artsiom Sanakoyeu; Sabine Lang; Björn Ommer (ICCV, 2019)

Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting. - Nikolai Ufer; Sabine Lang; Björn Ommer (ECCV Workshops (2), 2020)

Transforming Information Into Knowledge: How Computational Methods Reshape Art History. - Sabine Lang; Björn Ommer (Digit. Humanit. Q., 2021)

"Mind the Gap": Von Lücken in der Provenienzforschung und ihrer Präsenz im digitalen Raum. - Sabine Lang (DHd, 2023)

Machine Learning Meets Provenance Research: Recognising and Transcribing Handwritten Annotations in Auction Catalogues. - Sabine Lang (Int. J. Humanit. Arts Comput., 2025)